CN214030275U - AI speech recognition classification garbage bin - Google Patents
AI speech recognition classification garbage bin Download PDFInfo
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- CN214030275U CN214030275U CN202021650079.XU CN202021650079U CN214030275U CN 214030275 U CN214030275 U CN 214030275U CN 202021650079 U CN202021650079 U CN 202021650079U CN 214030275 U CN214030275 U CN 214030275U
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Abstract
The utility model relates to a categorised garbage bin of AI speech recognition, include: the garbage can comprises a central control cabinet body and at least one garbage can cabinet body; a main controller and a communication device are arranged in the central control cabinet body; a voice interaction assembly is arranged on the central control cabinet body; a barrel cover is arranged on each garbage can body; a barrel cover control device and an inner barrel are arranged in each garbage can body; the main controller sends the first voice information collected by the voice interaction assembly to the server and obtains feedback information sent by the server; the main controller also controls the voice interaction assembly to output second voice information and/or controls a corresponding barrel cover control device to open or close the barrel cover according to the feedback information or the first voice information so that the garbage is thrown into the inner barrel matched with the garbage type. By adopting the scheme, the user performs voice interaction with the garbage can, determines the garbage type of the current garbage, opens the corresponding can cover, realizes garbage throwing, can promote the accuracy of garbage classification, saves the garbage treatment time, and improves the garbage treatment efficiency.
Description
Technical Field
The utility model relates to a speech recognition technical field, concretely relates to AI speech recognition classification garbage bin.
Background
Garbage classification generally refers to a general term for a series of activities that classify and store, classify and dispose of garbage according to a certain rule or standard, and then convert the garbage into a common resource. The purpose of garbage classification is to improve the resource value and economic value of garbage and strive for making the best use of things.
At present, garbage classification usually adopts a plurality of garbage bins that hold different grade type rubbish, and people need oneself with garbage classification back, drop into respectively in the garbage bin of corresponding type. However, some people are not aware of the classification of garbage, do not classify the garbage, or do not know the type of different garbage, resulting in classification errors. Therefore, the accuracy of garbage classification is reduced, the complexity of garbage disposal in a garbage site is improved, the garbage site needs to perform secondary classification on garbage, the garbage disposal time is prolonged, and the garbage disposal efficiency is reduced.
SUMMERY OF THE UTILITY MODEL
In view of this, the utility model provides a categorised garbage bin of AI speech recognition, aim at overcome among the prior art waste classification's accuracy lower, improved the complexity of refuse disposal in the garbage yard, prolonged the time of refuse disposal, reduced the problem of refuse disposal's efficiency.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
an AI speech recognition classification trash can, comprising: the garbage can comprises a central control cabinet body and at least one garbage can cabinet body;
a main controller and a communication device are arranged in the central control cabinet body;
a voice interaction assembly is arranged on the central control cabinet body;
a barrel cover is arranged on each garbage can body;
a can cover control device for controlling the opening and closing of the can cover and an inner barrel for containing garbage are arranged in each garbage can cabinet body;
the voice interaction assembly is connected with the master controller;
the main controller is respectively connected with the barrel cover control device and the server through the communication device;
the voice interaction assembly is used for acquiring first voice information sent by a user;
the main controller is used for sending the first voice information to the server through the communication device and acquiring feedback information sent by the server;
the main controller is further used for controlling the voice interaction assembly to output second voice information and/or controlling the corresponding barrel cover control device to open or close the barrel cover according to the feedback information or the first voice information, so that a user can throw garbage into the corresponding inner barrel through the barrel cover matched with the garbage type.
Furthermore, in the AI voice recognition classification garbage can, an overflow detection device for detecting whether the inner can is full is arranged in each garbage can cabinet body;
the overflow detection device comprises a laser correlation sensor and a reflector;
the laser correlation sensor is connected with the main controller;
the laser correlation sensor is used for emitting laser through an emitting end and sending detection information to the main controller according to whether a receiving end receives the laser reflected by the reflector;
the main controller is used for sending overflow prompt information to the voice interaction assembly and/or the server if the detection information shows that the receiving end of the laser correlation sensor does not receive the laser, and sending a locking instruction to the barrel cover control device in the garbage can body where the laser correlation sensor is located, so that the corresponding barrel cover is locked until the received detection information shows that the receiving end of the laser correlation sensor receives the laser, and then the locking of the barrel cover is stopped.
Furthermore, in the AI voice recognition classification garbage can, a distance measuring sensor is arranged in each garbage can cabinet body;
the distance measuring sensor is arranged at the top of the garbage bin cabinet body;
the distance measuring sensor is connected with the master controller;
the distance measuring sensor is used for detecting a target distance from the top of the garbage bin cabinet body to the top of garbage in the inner bin;
the main controller is used for sending prompt information that an inner barrel is not placed to the voice interaction assembly and/or the server if the target distance is greater than a preset maximum distance, and sending the locking instruction to the barrel cover control device in the garbage can cabinet body where the main controller is located so as to lock the corresponding barrel cover;
the main controller is further configured to send overflow prompt information to the voice interaction assembly and/or the server if the target distance is smaller than the overflow distance, and send the locking instruction to the can cover control device in the garbage can cabinet where the distance measuring sensor is located, so that the corresponding can cover is locked.
Furthermore, in the AI voice recognition classification garbage can, each garbage can cabinet body is provided with a capacity indication assembly;
the main controller is used for determining the current residual capacity of the inner barrel according to the target distance and controlling the capacity indicating assembly to display the current residual capacity.
Further, in the AI voice recognition classification trash can, the capacity indication component comprises an LED lamp and/or a display screen.
Further, in the AI voice recognition classification garbage can, a can cover switch button is arranged on each garbage can body;
the bin cover switch button is connected with the bin cover control device in the garbage bin cabinet body where the bin cover switch button is located;
the barrel cover switch button is used for sending a barrel cover switch instruction to the corresponding barrel cover control device so that the barrel cover control device controls the corresponding barrel cover to be switched on and off.
Further, in the AI voice recognition classification trash can, the trash can body and the central control trash can body each comprise a trash can body, an upper cover, a bottom plate supporting assembly and a trash can door assembly;
the garbage can cabinet body further comprises an upper cover fixing piece and a hinge;
the upper cover fixing piece is arranged on the upper cover through the hinge;
the barrel cover is arranged on the upper cover.
Further, in the above-mentioned AI speech recognition classification garbage bin, each of the bin cover control devices includes: the device comprises a single-barrel controller, a push rod motor, a transmission assembly and a rotating support shaft;
the single-barrel controller is respectively connected with the barrel cover switch button, the main controller and the push rod motor;
the push rod motor and the rotating support shaft are respectively connected with the transmission assembly;
the rotary supporting shaft is connected with the barrel cover;
the single-barrel controller is used for controlling the push rod motor to work, so that the push rod motor controls the rotating support shaft to rotate through the transmission assembly, and the barrel cover is opened or closed.
Further, in the above AI voice recognition classification trash can, the communication device includes: a bus and network communication component;
the master controller is connected with the server through the network communication component;
the main controller is respectively connected with all the single-barrel controllers through the buses.
Further, in the AI voice recognition classification garbage can, the garbage can body and the central control cabinet body are provided with wire passing holes;
the bus is wired through the wire through hole.
The utility model discloses a categorised garbage bin of AI speech recognition, include: the garbage can comprises a central control cabinet body and at least one garbage can cabinet body; a main controller and a communication device are arranged in the central control cabinet body; a voice interaction assembly is arranged on the central control cabinet body; a barrel cover is arranged on each garbage can body; a can cover control device for controlling the opening and closing of the can cover and an inner barrel for containing garbage are arranged in each garbage can cabinet body; the voice interaction assembly is connected with the main controller; the main controller is respectively connected with the barrel cover control device and the server through the communication device; the voice interaction component collects first voice information sent by a user; the master controller sends the first voice information to the server through the communication device and obtains feedback information sent by the server; the main controller also controls the voice interaction assembly to output second voice information and/or controls a corresponding barrel cover control device to open or close the barrel cover according to the feedback information or the first voice information, so that a user can throw the garbage into the corresponding inner barrel through the barrel cover matched with the garbage type. Adopt the technical scheme of the utility model, the user can directly carry out voice interaction with the garbage bin to confirm the rubbish type of current rubbish, and open the garbage bin bung that corresponds, realize rubbish and put in. Therefore, the accuracy of garbage classification can be improved, secondary classification of a garbage site is avoided, the garbage disposal time is saved, and the garbage disposal efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and for those skilled in the art, other drawings can be obtained without creative efforts.
Fig. 1 is a schematic structural diagram of the AI speech recognition classification trash can of the present invention;
fig. 2 is a circuit block diagram of the AI speech recognition classification trash can of the present invention.
Detailed Description
To make the objects, aspects and advantages of the present invention clearer, exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Fig. 1 is a schematic structural diagram of the AI speech recognition classification trash can of the present invention; fig. 2 is a circuit block diagram of the AI speech recognition classification trash can of the present invention. As shown in fig. 1 and 2, the AI speech recognition classification garbage can of the present embodiment includes: a central control cabinet 101 and at least one garbage bin cabinet 102. A master controller 103 and a communication device 104 are arranged in the central control cabinet body 101; a voice interaction assembly 105 is arranged on the central control cabinet body 101; a barrel cover 106 is arranged on each garbage can body 102; a can cover control device 107 for controlling the opening and closing of the can cover 106 and an inner barrel for containing garbage are arranged in each garbage can cabinet body 102. Wherein, the voice interaction component 105 is connected with the master controller 103; the master controller 103 is connected with the barrel cover control device 107 and the server 20 through the communication device 104.
A user may input first voice information by using the voice interaction component 105, the master controller 103 may receive the first voice information collected by the voice interaction component 105 and send the first voice information to the server 20 through the communication device 104, and the server 20 may generate feedback information according to the first voice information and send the feedback information to the master controller 103 through the communication device 104. The main controller 103 can control the voice interaction component 105 to output second voice information and/or control the corresponding barrel cover control device 107 to open or close the barrel cover 106 according to the feedback information or the first voice information, so that a user can throw garbage into the corresponding inner barrel through the barrel cover 106 matched with the garbage type.
In a specific embodiment, a user can input first voice information for waking up the trash can through the voice interaction component 105, and after the main controller 103 receives the first voice information, if it is determined that the currently received first voice information is the same as the preset wake-up information, the voice interaction component 105 is controlled to output second voice information indicating that the trash can has been woken up, for example, the wake-up information may be "small-D" and the wake-up information of the trash can be set autonomously. The second voice message indicating that it has been woken up may be "i am asking you what garbage you want to throw". The user can input the first voice information of the garbage name or the garbage type and the like through the voice interaction component 105, the main controller 103 can analyze the first voice information to determine the garbage type which the user wants to put, if only the garbage name is given in the first voice information, the main controller 103 cannot analyze the garbage type corresponding to the garbage name, the first voice information can be sent to the server 20 through the communication device 104, the server 20 can determine the garbage type by using a big data technology and the like, and feedback information is generated and fed back to the main controller 103. The main controller 103 can control the voice interaction assembly 105 to output second voice information according to analysis of the first voice information or received feedback information, and the main controller 103 controls the barrel cover control device 107 to work through the communication device 104, so that the barrel cover control device 107 opens the barrel cover 106, at this time, the main controller 103 can record the current opening duration of the barrel cover 106, and after the current opening duration of the barrel cover 106 reaches a preset duration, the main controller 103 can control the barrel cover control device 107 to close the barrel cover 106. For example, the first voice message input by the user is "i want to throw banana peel", and the second voice message output by the voice interaction component 105 may be "this is kitchen garbage and the lid is opened". Therefore, the user can put the garbage into the corresponding inner barrel through the barrel cover 106 matched with the garbage type of the garbage, and the garbage classification is realized.
In this embodiment, the functions of voice recognition and voice interaction can be realized based on the AI technology.
The AI speech recognition classification garbage of this embodiment includes: a central control cabinet 101 and at least one garbage can cabinet 102; a master controller 103 and a communication device 104 are arranged in the central control cabinet body 101; a voice interaction assembly 105 is arranged on the central control cabinet body 101; a barrel cover 106 is arranged on each garbage can body 102; a barrel cover control device 107 and an inner barrel are arranged in each garbage barrel cabinet body 102. The voice interaction component 105 collects first voice information sent by a user; the master controller 103 sends the first voice information to the server 20 through the communication device 104, and obtains feedback information sent by the server 20; the main controller 103 also controls the voice interaction component 105 to output second voice information and/or controls a corresponding barrel cover control device 107 to open or close the barrel cover 106 according to the feedback information or the first voice information, so that a user can throw the garbage into a corresponding inner barrel through the barrel cover 106 matched with the garbage type. By adopting the technical scheme of the embodiment, the user can directly perform voice interaction with the garbage can, so that the garbage type of the current garbage is determined, the corresponding garbage can cover is opened, and garbage throwing is realized. Therefore, the accuracy of garbage classification can be improved, secondary classification of a garbage site is avoided, the garbage disposal time is saved, and the garbage disposal efficiency is improved.
Further, in the AI speech recognition classification trash can of the embodiment, the trash can cabinet 102 and the central control cabinet 101 each include a cabinet body 1021, an upper cover 1022, a bottom plate supporting component 1023 and a cabinet door component 1024, wherein the cabinet door component 1024 may include a cabinet door and a cabinet door lock. The staff can open the cabinet door through the cabinet door lock to the realization is to getting of interior bucket and is put. The upper cover 1022, the base plate support assembly 1023, and the cabinet door assembly 1024 are connected to the cabinet body 1021 to form a cabinet body. Further, the trash can cabinet 102 further includes an upper cover fastener 1025 and a hinge 1026, and the upper cover fastener 1025 is fastened to the upper cover 1022 through the hinge 1026. The barrel cover 106 is movably connected with the upper cover 1022. Thus, when the lid 106 is not opened, the dustbin cabinet 102 is in a closed state, and can isolate peculiar smell.
Further, in the AI voice recognition classification trash can of this embodiment, an overflow detection device 108 for detecting whether the inner barrel in the trash can cabinet 102 is full is disposed in each trash can cabinet 102, and the overflow detection device 108 includes a laser correlation sensor and a reflective mirror. Wherein, the laser correlation sensor is connected with the main controller 103. The laser correlation sensor and the reflector can be arranged on the cabinet body 1021 and flush with the top end of the inner barrel or a place slightly higher than the top end of the inner barrel, the laser correlation sensor is arranged on one side of the cabinet body 1021, and the reflector is arranged on the other side opposite to the laser correlation sensor. The transmitting end of the laser correlation sensor can transmit laser, and the reflector can reflect the transmitted laser to the receiving end of the laser correlation sensor. The receiving end of the laser correlation sensor may generate detection information according to whether the laser reflected by the mirror is received, and transmit the detection information to the master controller 103. If the garbage in the current inner barrel is full, the laser emitted by the emitting end of the laser correlation sensor or the laser reflected by the reflector is shielded, the receiving end of the laser correlation sensor cannot receive the laser, the generated detection information indicates that the receiving end of the laser correlation sensor does not receive the laser, the main controller 103 determines that the garbage in the current inner barrel is full according to the detection information, and generates overflow prompt information, the overflow prompt information is sent to the voice interaction component 105 and/or the server 20, the voice interaction component 105 outputs the voice of the overflow prompt, the server 20 can also be connected with the terminal equipment of the staff, so as to inform the staff that the inner barrel is full, so that the staff can timely handle the overflow prompt information, the overflow prompt information carries a garbage bin identifier, and the garbage bin identifier is the identifier of the garbage bin in which the full inner bin is located; the main controller 103 can also send a locking instruction to a can cover control device 107 in the garbage can body 102 where the laser correlation sensor is located, so that the can cover control device 107 controls the corresponding can cover 106 to be locked until a worker treats garbage in the inner can, and the main controller 103 stops locking the can cover 106 after receiving detection information indicating that the laser correlation sensor receiving end receives laser. Therefore, the user is forbidden to throw garbage into the inner barrel under the condition that the inner barrel is full, the overflow condition of the inner barrel is avoided, whether the inner barrel is full or not does not need to be manually checked, the garbage disposal time is saved, and the garbage disposal efficiency is improved. In addition, each garbage bin cabinet body 102 can be further provided with an overflow alarm, and when the main controller 103 judges that the inner barrel in the garbage bin cabinet body 102 is full, the overflow alarm arranged on the garbage bin cabinet body 102 is controlled to alarm.
Further, in the AI voice recognition classification garbage can of this embodiment, each garbage can cabinet body 102 is provided with a distance measuring sensor 110 therein, and the distance measuring sensor 110 is connected with the main controller 103. The distance measuring sensor 110 is disposed at the top of the garbage bin cabinet 102, i.e. may be disposed at the inner side of the upper cover 1022, vertically opposite to the inner tub. The ranging sensor 110 may detect a target distance between the location of the ranging sensor 110 and the top of the garbage in the inner tub and transmit the target distance to the main controller 103. The main controller 103 stores a preset maximum distance and an overflow distance, wherein the preset maximum distance is the distance from the position of the ranging sensor 110 to the bottom of the inner barrel, and the overflow distance is the distance from the position of the ranging sensor 110 to the top of the inner barrel.
If the main controller 103 determines that the target distance is greater than the preset maximum distance, it indicates that the current target distance is the distance between the bottom plate support assembly and the position of the distance measurement sensor 110, and no inner barrel is placed in the garbage can cabinet 102, then the main controller 103 needs to send a prompt message indicating that no inner barrel is placed to the voice interaction assembly 105 and/or the server 20, where the prompt message carries a garbage can identifier indicating that no inner barrel is placed. The voice interactive component 105 can output voice information of the empty inner barrel, for example, "the kitchen garbage can is not filled in the inner barrel, and does not need to be put in the inner barrel", and the server 20 can send the prompt information to the terminal equipment of the staff connected with the server, so that the staff can timely handle the prompt information. In addition, the main controller 103 can also send a locking instruction to the can cover control device 107 in the trash can cabinet 102 corresponding to the trash can identifier carried by the prompt message through the communication device 104, so that the can cover control device 107 controls the corresponding can cover 106 to be locked until the target distance is not greater than the preset maximum distance, and then the locking is stopped. Therefore, the situation that the garbage is thrown to the outer portion of the inner barrel to pollute the garbage bin cabinet body 102 due to the fact that the inner barrel is forgotten to be placed in the garbage bin cabinet body 102 can be avoided.
If the main controller 103 judges that the target distance is smaller than the overflow distance, the inner barrel is full, overflow prompt information is generated, the overflow prompt information is sent to the voice interaction component 105 and/or the server 20, the voice interaction component 105 outputs the voice of the overflow prompt, and the server 20 can also be connected with terminal equipment of workers, so that the workers are informed that the inner barrel is full, and the workers can process the full inner barrel in time; the main controller 103 can also send a locking instruction to the can cover control device 107 in the garbage can body 102 where the distance measuring sensor is located, so that the can cover control device 107 controls the corresponding can cover 106 to be locked until the main controller 103 judges that the target distance is not less than the overflow distance after the working personnel processes the garbage in the inner can, and then the locking of the can cover 106 is stopped. Therefore, when the inner barrel is full, a user is prohibited from throwing garbage into the inner barrel, and the inner barrel is prevented from overflowing.
Further, in the AI voice recognition classification trash can of the present embodiment, each trash can cabinet 102 is provided with a capacity indication component 112, wherein the capacity indication component 112 is connected with the master controller 103. The main controller 103 can determine the current remaining capacity of the inner barrel according to the target distance detected by the distance measuring sensor 110, and control the capacity indicating assembly 112 on the garbage can cabinet 102 where the distance measuring sensor 110 is located to display the current remaining capacity. The capacity indication assembly 112 may include, among other things, LED lights and/or a display screen. The display screen may directly display the current remaining capacity. The current remaining capacity can be judged by the number of the lighted LED lamps, for example, 5 LED lamps can be arranged on each trash can cabinet 102, and are respectively lighted according to the current remaining capacity of 20%, 40%, 60%, 80% and 100%, that is, if all the LED lamps are not lighted, the current remaining capacity is 0; if the number of the light-emitting diodes is 1, the current residual capacity is 20 percent; if the number of the light-up parts is 5, the current residual capacity is 100 percent. In this way, users and workers can directly determine the inner barrel garbage containing condition in each garbage can cabinet 102 according to the capacity indicating assembly 112.
Further, in the AI voice recognition classification trash can of this embodiment, each trash can cabinet body 102 is provided with a can cover switch button 111, and the can cover switch button 111 is connected to the can cover control device 107 in the trash can cabinet body 102 where the can cover switch button 111 is located. The user can send a bin cover opening and closing instruction to the bin cover control device 107 through the bin cover opening and closing button 111, so that the corresponding bin cover 106 is controlled to be opened and closed through the bin cover opening and closing button 111 when the user knows the type of the thrown rubbish, the user can directly open and close the bin cover 106 through the bin cover opening and closing button 111, the rubbish can be directly thrown in without waking up the bin, and the rubbish throwing time can be saved.
Further, in the AI voice recognition classification trash can of the present embodiment, each can cover control device 107 includes: a single tub controller 1071, a push rod motor 1072, a transmission assembly 1073, and a rotation support shaft 1074. Wherein, the single barrel controller 1071 is respectively connected with the barrel cover switch button 111, the main controller 103 and the push rod motor 1072; the push rod motor 1072 and the rotating support shaft 1074 are respectively connected with the transmission component 1073; the rotation supporting shaft 1074 is connected to the tub cover 106. The single-bin controller 1071 can receive the control command that master controller 103 sent to control push rod motor 1072 work, so that push rod motor 1072 rotates through drive assembly 1073 control rotation support shaft 1074, realize opening and closing of the bung 106 that sets up on the garbage bin cabinet 102 of bung controlling means 107 place.
Further, in the AI speech recognition classification trash can of the present embodiment, the communication device 104 includes a bus and a network communication component. The master controller 103 can be connected with the single-bucket controller 1071 through a bus so as to perform data interaction, and the master controller 103 can also be connected with the server 20 through a network communication component so as to perform data interaction. Wherein, the bus can adopt the 485 bus, and the network communication subassembly can adopt WIFI communication subassembly, 5G communication subassembly etc..
Further, in the categorised garbage bin of AI speech recognition of this embodiment, all can set up wire hole 109 on the garbage bin cabinet body 102 and the central control cabinet body 101 to the bus is walked through wire hole 109, avoids the mixed and disorderly setting of bus, reduces the bus mistake and bumps the condition.
In this embodiment, the analysis of the first voice information, the feedback information, the target distance, the detection information, and the like by the master controller 103 all belong to the prior art, and a person skilled in the art can implement the analysis function of the master controller 103 according to the prior art. In addition, the circuit connection between the main controller 103 and the single-barrel controller 1071, the main controller 103 and the sensor, the single-barrel controller 1071 and the push rod motor 1072, and the main controller 103 and the button and the display module can be realized by those skilled in the art according to the prior art, and the embodiment is not specifically described.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present invention, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present invention, "a plurality" means at least two unless otherwise specified.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present invention have been shown and described, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art without departing from the scope of the present invention.
Claims (9)
1. An AI speech recognition classification garbage can, comprising: the garbage can comprises a central control cabinet body and at least one garbage can cabinet body;
a main controller and a communication device are arranged in the central control cabinet body;
a voice interaction assembly is arranged on the central control cabinet body;
a barrel cover is arranged on each garbage can body;
a can cover control device for controlling the opening and closing of the can cover and an inner barrel for containing garbage are arranged in each garbage can cabinet body;
the voice interaction assembly is connected with the master controller;
the main controller is respectively connected with the barrel cover control device and the server through the communication device;
the voice interaction assembly is used for acquiring first voice information sent by a user;
the main controller is used for sending the first voice information to the server through the communication device and acquiring feedback information sent by the server;
the main controller is further used for controlling the voice interaction assembly to output second voice information and/or controlling the corresponding barrel cover control device to open or close the barrel cover according to the feedback information or the first voice information, so that a user can throw garbage into the corresponding inner barrel through the barrel cover matched with the garbage type;
an overflow detection device for detecting whether the inner barrel is full is arranged in each garbage bin cabinet body;
the overflow detection device comprises a laser correlation sensor and a reflector;
the laser correlation sensor is connected with the main controller;
the laser correlation sensor is used for emitting laser through an emitting end and sending detection information to the main controller according to whether a receiving end receives the laser reflected by the reflector;
the main controller is used for sending overflow prompt information to the voice interaction assembly and/or the server if the detection information shows that the receiving end of the laser correlation sensor does not receive the laser, and sending a locking instruction to the barrel cover control device in the garbage can body where the laser correlation sensor is located, so that the corresponding barrel cover is locked until the received detection information shows that the receiving end of the laser correlation sensor receives the laser, and then the locking of the barrel cover is stopped.
2. The AI voice recognition classification trash can of claim 1, wherein each trash can cabinet has a ranging sensor disposed therein;
the distance measuring sensor is arranged at the top of the garbage bin cabinet body;
the distance measuring sensor is connected with the master controller;
the distance measuring sensor is used for detecting a target distance from the top of the garbage bin cabinet body to the top of garbage in the inner bin;
the main controller is used for sending prompt information that an inner barrel is not placed to the voice interaction assembly and/or the server if the target distance is greater than a preset maximum distance, and sending the locking instruction to the barrel cover control device in the garbage can cabinet body where the main controller is located so as to lock the corresponding barrel cover;
the main controller is further configured to send overflow prompt information to the voice interaction assembly and/or the server if the target distance is smaller than the overflow distance, and send the locking instruction to the can cover control device in the garbage can cabinet where the distance measuring sensor is located, so that the corresponding can cover is locked.
3. The AI voice recognition classification trash can of claim 2, wherein each trash can cabinet has a capacity indication component disposed thereon;
the main controller is used for determining the current residual capacity of the inner barrel according to the target distance and controlling the capacity indicating assembly to display the current residual capacity.
4. The AI voice recognition sortation trash can of claim 3, wherein the capacity indication component includes an LED light and/or a display screen.
5. The AI voice recognition classification trash can of claim 1, wherein a can lid switch button is disposed on each trash can cabinet body;
the bin cover switch button is connected with the bin cover control device in the garbage bin cabinet body where the bin cover switch button is located;
the barrel cover switch button is used for sending a barrel cover switch instruction to the corresponding barrel cover control device so that the barrel cover control device controls the corresponding barrel cover to be switched on and off.
6. The AI voice recognition classification trash can of claim 1, wherein the trash can cabinet and the central control cabinet each comprise a cabinet body, an upper cover, a floor support assembly and a cabinet door assembly;
the garbage can cabinet body further comprises an upper cover fixing piece and a hinge;
the upper cover fixing piece is arranged on the upper cover through the hinge;
the barrel cover is arranged on the upper cover.
7. The AI voice recognition classification trash can of claim 5, wherein each of the can lid control devices comprises: the device comprises a single-barrel controller, a push rod motor, a transmission assembly and a rotating support shaft;
the single-barrel controller is respectively connected with the barrel cover switch button, the main controller and the push rod motor;
the push rod motor and the rotating support shaft are respectively connected with the transmission assembly;
the rotary supporting shaft is connected with the barrel cover;
the single-barrel controller is used for controlling the push rod motor to work, so that the push rod motor controls the rotating support shaft to rotate through the transmission assembly, and the barrel cover is opened or closed.
8. The AI speech recognition classification trash can of claim 7, wherein the communication device comprises: a bus and network communication component;
the master controller is connected with the server through the network communication component;
the main controller is respectively connected with all the single-barrel controllers through the buses.
9. The AI voice recognition classification trash can of claim 8, wherein the trash can cabinet and the central control cabinet are provided with wire through holes;
the bus is wired through the wire through hole.
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| CN202021650079.XU CN214030275U (en) | 2020-08-10 | 2020-08-10 | AI speech recognition classification garbage bin |
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| CN202021650079.XU CN214030275U (en) | 2020-08-10 | 2020-08-10 | AI speech recognition classification garbage bin |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114056801A (en) * | 2021-12-22 | 2022-02-18 | 广西安全工程职业技术学院 | Automatic bag sleeving garbage can |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114056801A (en) * | 2021-12-22 | 2022-02-18 | 广西安全工程职业技术学院 | Automatic bag sleeving garbage can |
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